Mass media impact on opinion evolution in biased digital environments: a bounded confidence model.

ABSTRACT: People increasingly shape their opinions by accessing and discussing content shared on social networking websites. These platforms contain a mixture of other users' shared opinions and content from mainstream media sources. While online social networks have fostered information access and diffusion, they also represent optimal environments for the proliferation of polluted information and contents, which are argued to be among the co-causes of polarization/radicalization phenomena. Moreover, recommendation algorithms - intended to enhance platform usage - likely augment such phenomena, generating the so-called Algorithmic Bias. In this work, we study the effects of the combination of social influence and mass media influence on the dynamics of opinion evolution in a biased online environme

SUBMITTER: Pansanella V 

PROVIDER: S-EPMC10480185 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature